Mohammed Mawlod's study assesses the spatial availability of onshore wind energy potential in British Columbia using GIS and multicriteria decision analysis. The analysis integrated 9 criteria, including wind speed, terrain, and infrastructure proximity, to identify approximately 2,527.7 km² of suitable land. The dataset, harvested from Borealis Dataverse, includes estimated annual energy production figures for three turbine models.
Use Cases
- Modeling wind farm site suitability based on criteria like wind speed, elevation, and slope.
- Estimating regional energy production potential using turbine models from General Electric, Vestas, and Senvion.
- Planning infrastructure corridors by analyzing proximity to power substations and main roads.
- Assessing environmental and regulatory constraints by evaluating proximity to protected areas and airports.
Strengths
- Analysis is based on 9 specific technical, economic, and regulatory criteria.
- Identifies 2,527.7 km² of land suitable for development, representing 0.27% of BC's total area.
- Provides concrete annual energy production estimates: 41.5, 49.2, and 54.5 TWh/year for three turbine models.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
- The underlying source data's temporal coverage and resolution are not specified.
Provenance
- Source
- Borealis Harvested Dataverse, author Mohammed Mawlod.
- Collection Method
- Geographic information systems (GIS) and multicriteria decision analysis using the analytical hierarchy process (AHP), implemented in Python.
- Freshness
- Last updated 2026-05-02 04:10:37; freshness should be verified.
- Geography
- British Columbia, Canada.